Lead Data Engineer

About Us

Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service.
 
Visit Waste Harmonics Keter for more information.

Role Purpose

The Data Engineer designs, builds, and optimizes scalable, reusable, and performance-oriented data infrastructure that supports enterprise-wide reporting and analytics needs. The role aligns with modern data platform architecture and engineering best practices to ensure long-term maintainability, flexibility, and data trust.

Key Responsibilities

• Design, build, and maintain data pipelines to support reporting, analytics, and business intelligence.
• Develop and optimize scalable ETL/ELT processes using modern frameworks (e.g., dbt, Azure Data Factory, Fabric).
• Implement data models that support reporting and analytics needs (e.g., star schema, slowly changing dimensions).
• Ensure data quality, lineage, and observability for reliable business use.
• Collaborate with cross-functional teams to deliver integrated data solutions across the enterprise.
• Troubleshoot and optimize pipeline performance and SQL queries.
• Deliver documentation for technical workflows, transformations, and logic.
• Support governance by applying security, access control, and compliance standards in cloud environments.

Core Competencies & Behaviors

• Technical Excellence: Strong understanding of data architecture, modelling, and transformation flows.
• Problem Solving: Able to troubleshoot complex performance issues and propose efficient solutions.
• Collaboration: Works effectively with analysts, engineers, and business teams to deliver end-to-end solutions.
• Continuous Improvement: Applies CI/CD, version control, and best practices to improve workflow efficiency.
• Detail Orientation: Ensures data accuracy, completeness, and consistency across systems.
• Adaptability: Thrives in a modern, cloud-based data environment and adapts to evolving technologies.

Experience & Knowledge

• Experience building and maintaining cloud-based data pipelines (e.g., Azure, Snowflake, Fabric).
• Hands-on use of orchestration tools and ETL/ELT frameworks (dbt, ADF).
• Strong knowledge of data modelling principles and data architecture concepts.
• Experience with CI/CD pipelines, version control (e.g., Git), and modern data stack practices.
• Familiarity with monitoring and observability tools for pipelines.
• Understanding of security and access controls in cloud data platforms.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience).
• Proficiency in SQL and modern data stack tools (dbt, Snowflake, Azure Data Factory, Fabric).
• Strong technical documentation and communication skills.

Waste Harmonics Keter Comprehensive Benefits Package

•  Competitive Compensation 
•  Annual Bonus Plan at Every Level 
•  Continuous Learning and Development Opportunities 
•  401(k) Retirement Savings with Company Match; Immediate Vesting 
•  Medical & Dental Insurance 
•  Vision Insurance (Company Paid) 
•  Life Insurance (Company Paid) 
•  Short-term & Long-term Disability (Company paid) 
•  Employee Assistance Program 
•  Flexible Spending Accounts/Health Savings Accounts 
•  Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer 
•  7 Paid Holidays